mirror of
https://github.com/LmeSzinc/StarRailCopilot.git
synced 2024-11-16 06:25:24 +00:00
229 lines
7.4 KiB
Python
229 lines
7.4 KiB
Python
import re
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from pponnxcr.predict_system import BoxedResult
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from module.base.utils import area_center, area_in_area
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from module.logger import logger
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from module.ocr.ocr import Ocr, OcrWhiteLetterOnComplexBackground
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from module.ui.scroll import AdaptiveScroll
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from tasks.daily.synthesize import SynthesizeUI
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from tasks.planner.assets.assets_planner_result import *
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from tasks.planner.keywords import ITEM_CLASSES
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from tasks.planner.keywords.classes import ItemCurrency
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from tasks.planner.model import PlannerMixin, PlannerResultRow
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CALCULATE_TITLE.load_search(RESULT_CHECK.search)
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MATERIAL_TITLE.load_search(RESULT_CHECK.search)
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DETAIL_TITLE.load_search(RESULT_CHECK.search)
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class OcrItemName(Ocr):
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def after_process(self, result):
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result = result.replace('念火之心', '忿火之心')
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result = re.sub('工造机$', '工造机杼', result)
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result = re.sub('工造迥?轮', '工造迴轮', result)
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result = re.sub('月狂[療撩]?牙', '月狂獠牙', result)
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# Error words on blank background
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result = re.sub('^[國東]', '', result)
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result = re.sub('時$', '', result)
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return result
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class OcrPlannerResult(OcrWhiteLetterOnComplexBackground, OcrItemName):
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min_box = (16, 20)
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def __init__(self):
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# Planner currently CN only
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super().__init__(OCR_RESULT, lang='cn')
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self.limited_area = OCR_RESULT.area
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self.limit_y = 720
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def _match_result(
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self,
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result: str,
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keyword_classes,
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lang: str = 'cn',
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ignore_punctuation=True,
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ignore_digit=True):
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return super()._match_result(
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result,
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keyword_classes,
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lang,
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ignore_punctuation,
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ignore_digit,
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)
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def filter_detected(self, result: BoxedResult) -> bool:
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if not area_in_area(result.box, self.limited_area, threshold=0):
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return False
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if area_center(result.box)[1] > self.limit_y:
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return False
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return True
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def detect_and_ocr(self, image, *args, **kwargs):
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# Remove rows below DETAIL_TITLE
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if DETAIL_TITLE.match_template(image):
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self.limit_y = DETAIL_TITLE.button[3]
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else:
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self.limit_y = 720
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return super().detect_and_ocr(image, *args, **kwargs)
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def pre_process(self, image):
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# gray = rgb2gray(image)
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# from PIL import Image
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# Image.fromarray(gray).show()
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# image = cv2.merge([gray, gray, gray])
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return image
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class PlannerScan(SynthesizeUI, PlannerMixin):
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def is_in_planner_result(self):
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if self.appear(RESULT_CHECK):
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return True
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if self.appear(CALCULATE_TITLE):
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return True
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if self.appear(MATERIAL_TITLE):
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return True
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if self.appear(DETAIL_TITLE):
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return True
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return False
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def parse_planner_result_page(self) -> list[PlannerResultRow]:
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"""
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Pages:
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in: planner result
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"""
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ocr = OcrPlannerResult()
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results = ocr.detect_and_ocr(self.device.image)
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x_total = 842
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x_synthesize = 965
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x_demand = 1129
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def x_match(result: BoxedResult, x):
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rx = area_center(result.box)[0]
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return x - 50 <= rx <= x + 50
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def y_match(result: BoxedResult, y):
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rx = area_center(result.box)[1]
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return y - 15 <= rx <= y + 15
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# Split columns
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list_item = [r for r in results
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if not r.ocr_text.isdigit() and ocr._match_result(r.ocr_text, keyword_classes=ITEM_CLASSES)]
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list_number = [r for r in results if r.ocr_text.isdigit()]
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list_total = [r for r in list_number if x_match(r, x_total)]
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list_synthesize = [r for r in list_number if x_match(r, x_synthesize)]
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list_demand = [r for r in list_number if x_match(r, x_demand)]
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# Structure
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out: list[PlannerResultRow] = []
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for item in list_item:
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y_item = area_center(item.box)[1]
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total = -1
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for number in list_total:
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if y_match(number, y_item):
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total = int(number.ocr_text)
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break
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synthesize = 0
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for number in list_synthesize:
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if y_match(number, y_item):
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synthesize = int(number.ocr_text)
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break
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demand = 0
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for number in list_demand:
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if y_match(number, y_item):
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demand = int(number.ocr_text)
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break
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item = ocr._match_result(item.ocr_text, keyword_classes=ITEM_CLASSES)
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row = PlannerResultRow(
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item=item,
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total=total,
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synthesize=synthesize,
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demand=demand
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)
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# Validate item
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# print(row)
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if row.total <= 0:
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logger.warning(f'Planner row with total <= 0, {row}')
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continue
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if row.synthesize < 0:
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# Credits always have `synthesize`=="-"
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if row.item.__class__ != ItemCurrency:
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logger.warning(f'Planner row with synthesize < 0, {row}')
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continue
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if row.demand < 0:
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logger.warning(f'Planner row with demand < 0, {row}')
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continue
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# Add
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out.append(row)
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logger.info(f'parse_planner_result_page: {out}')
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return out
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def parse_planner_result(self, skip_first_screenshot=True) -> list[PlannerResultRow]:
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"""
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Pages:
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in: planner result
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"""
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logger.hr('Parse planner result', level=2)
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scroll = AdaptiveScroll(RESULT_SCROLL.button, name=RESULT_SCROLL.name)
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scroll.drag_threshold = 0.1
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scroll.edge_threshold = 0.1
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scroll.parameters = {
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'height': 50,
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'prominence': 15,
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'width': 5,
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}
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if not skip_first_screenshot:
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self.device.screenshot()
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skip_first_screenshot = False
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if not scroll.at_top(main=self):
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scroll.set_top(main=self)
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out = []
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while 1:
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if skip_first_screenshot:
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skip_first_screenshot = False
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else:
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self.device.screenshot()
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# Skip first page
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if self.appear(CALCULATE_TITLE):
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scroll.next_page(main=self, page=0.75)
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continue
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# Parse
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rows = self.parse_planner_result_page()
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for row in rows:
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if row not in out:
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out.append(row)
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logger.attr('PlannerResult', len(rows))
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# Scroll
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if scroll.at_bottom(main=self):
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logger.info('Reached scroll end, stop')
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break
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elif self.appear(DETAIL_TITLE):
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logger.info('Reached DETAIL_TITLE, stop')
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break
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else:
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scroll.next_page(main=self, page=0.8)
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logger.hr('Planner Result')
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for row in out:
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logger.info(f'Planner item: {row.item.name}, {row.total}, {row.synthesize}, {row.demand}')
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self.planner_write_results(out)
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return out
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def run(self):
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self.device.screenshot()
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self.parse_planner_result()
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if __name__ == '__main__':
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self = PlannerScan('src', task='PlannerScan')
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self.device.screenshot()
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self.parse_planner_result()
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